Life is about understanding the world well enough that making a difference suddenly becomes easy.

Who am I?

Math geek. Coach. Researcher. Author. Public speaker. Programmer. Composer. Teacher. I've been called many things over the years, because I like doing tons of stuff. There's nothing that I don't enjoy doing or learning.

Next to that, I'm the overly idealistic type, always looking for ways to improve the world. Got an idea for that? Or do you have anything else going on that's fun/interesting and I can contribute to? Then don't hesitate to get in contact. Sharing ideas is always fun.

My new novel, Unidentified Thoughts, is done! Download it here

Perhaps you've already read First Thoughts? The sequel is now ready! It's called Unidentified Thoughts and, so far, it's only available in digital format. Download it here (epub, pdf) or through my Writing page.

The Free Minds continue to wreak havoc in Tarine, so the government sees no other option. The Thought Academy is forced to crack down on the workshop district. While Daran tries to help his friends there, he is torn between obligations to his old life and his new one. At the same time, his fellow students at the Academy also need his help. Yet when an unidentified gizmo appears, which somehow appears to have a link with Daran, he suddenly becomes the target.

Done reading? Do reach out and let me know your thoughts. The next part (Conflicting Thoughts) is in the planning phase now, so if you have some ideas there, also drop me a note.

My Ph.D. defense is scheduled

On October 17, at 10:00, I will defend my Ph.D. thesis at the Senaatszaal of the auditorium of the Delft University of Technology. A small presentation about my research will be held from 9:30-9:45. It's a public event, so everyone is welcome.

Curious about the thesis? It's called LQG and Gaussian process techniques - For wind turbine control. I also created a special student version of the thesis, focused on teaching this interesting method to aspiring master students. The source code for all examples in this student version is available on GitHub.

The thesis is about Gaussian process regression. This is a machine learning technique used for function approximation. But once you can approximate functions, you can learn nearly anything. The thesis is mainly a collection of my papers, while the student version has been set up so that people with a sufficient mathematical background (usually master's level) can follow it well enough. The chapters contain all the intuitive explanations, while most of the die-hard mathematics is relegated to appendices.